Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/76597
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Type: Journal article
Title: Electro-mechanical characteristics of myocardial infarction border zones and ventricular arrhythmic risk: novel insights from grid-tagged cardiac magnetic resonance imaging
Author: Wong, T.
Weightman, M.
Baumert, M.
Tayeb, H.
Richardson, J.
Puri, R.
Bertaso, A.
Roberts-Thomson, K.
Sanders, P.
Worthley, M.
Worthley, S.
Citation: European Radiology, 2012; 22(8):1651-1658
Publisher: Springer-Verlag
Issue Date: 2012
ISSN: 0938-7994
1432-1084
Statement of
Responsibility: 
Dennis T. L. Wong & Michael J. Weightman & Mathias Baumert & Hussam Tayeb & James D. Richardson & Rishi Puri & Angela G. Bertaso & Kurt C. Roberts-Thomson & Prashanthan Sanders & Matthew I. Worthley & Stephen G. Worthley
Abstract: OBJECTIVE To investigate whether grid-tag myocardial strain evaluation can characterise ‘border-zone’ peri-infarct region and identify patients at risk of ventricular arrhythmia as the peri-infarct myocardial zone may represent an important contributor to ventricular arrhythmia following ST-segment elevation myocardial infarction (STEMI). METHODS Forty-five patients with STEMI underwent cardiac magnetic resonance (CMR) imaging on days 3 and 90 following primary percutaneous coronary intervention (PCI). Circumferential peak circumferential systolic strain (CS) and strain rate (CSR) were calculated from grid-tagged images. Myocardial segments were classified into ‘infarct’, ‘border-zone’, ‘adjacent’ and ‘remote’ regions by late-gadolinium enhancement distribution. The relationship between CS and CSR and these distinct myocardial regions was assessed. Ambulatory Holter monitoring was performed 14 days post myocardial infarction (MI) to estimate ventricular arrhythmia risk via evaluation of heart-rate variability (HRV). RESULTS We analysed 1,222 myocardial segments. Remote and adjacent regions had near-normal parameters of CS and CSR. Border-zone regions had intermediate CS (-9.0 ± 4.6 vs -5.9 ± 7.4, P < 0.001) and CSR (-86.4 ± 33.3 vs -73.5 ± 51.4, P < 0.001) severity compared with infarct regions. Patients with ‘border-zone’ peri-infarct regions had reduced very-low-frequency power on HRV analysis, which is a surrogate for ventricular arrhythmia risk (P = 0.03). CONCLUSION Grid-tagged CMR-derived myocardial strain accurately characterises the mechanical characteristics of ‘border-zone’ peri-infarct region. Presence of ‘border-zone’ peri-infarct region correlated with a surrogate marker of heightened arrhythmia risk following STEMI.
Keywords: Grid-tagging; Border zone; Myocardial infarction; Ventricular arrhythmia; Cardiac MRI
Rights: © European Society of Radiology 2012
RMID: 0020120560
DOI: 10.1007/s00330-012-2417-2
Appears in Collections:Medicine publications

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